Comments (2)
In other words, why can I see the original picture in testing result? why doesn't each pixel in the result has been classified? in my result, some pixels has been classified, and others display as original pixel value, but not been classified in any of the classes. Thank you.
from unet-nested-multiple-classification.
Hello, i meet the same problem,have you solved it ?
from unet-nested-multiple-classification.
Related Issues (12)
- issue in training HOT 9
- 预训练模型问题 HOT 1
- Nothing is classified
- 训练有问题吧
- 数据制作问题 HOT 1
- RuntimeError: Sizes of tensors must match except in dimension 2. Got 74 and 75 (The offending index is 0) HOT 2
- 请问如何在inference_color.py中加入iou、mAP等评价标准的计算
- 实例分割效果的问题 HOT 4
- 请问有没有评价指标的代码 HOT 3
- ValueError: Sigmoid output possible only with 1 class HOT 2
- BrokenPipeError: [Errno 32] Broken pipe
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from unet-nested-multiple-classification.